Overview

Brought to you by YData

Dataset statistics

Number of variables16
Number of observations50000
Missing cells2025
Missing cells (%)0.3%
Total size in memory6.5 MiB
Average record size in memory136.0 B

Variable types

Numeric3
Text10
Unsupported3

Alerts

country has 999 (2.0%) missing valuesMissing
no_of_tickets is an unsupported type, check if it needs cleaning or further analysisUnsupported
venue_id is an unsupported type, check if it needs cleaning or further analysisUnsupported
subvenue_id is an unsupported type, check if it needs cleaning or further analysisUnsupported
performance_reserved has 48717 (97.4%) zerosZeros

Reproduction

Analysis started2025-10-29 22:44:43.755834
Analysis finished2025-10-29 22:44:45.299857
Duration1.54 second
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

customer_id
Real number (ℝ)

Distinct40334
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean954921.0344
Minimum4
Maximum1400568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:45.401189image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile101397
Q1614441.25
median1156790.5
Q31313808
95-th percentile1379131.1
Maximum1400568
Range1400564
Interquartile range (IQR)699366.75

Descriptive statistics

Standard deviation436514.4829
Coefficient of variation (CV)0.4571210259
Kurtosis-0.7682248896
Mean954921.0344
Median Absolute Deviation (MAD)203668.5
Skewness-0.7981314297
Sum4.774605172 × 1010
Variance1.905448938 × 1011
MonotonicityNot monotonic
2025-10-29T22:44:45.565545image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85473131
 
0.1%
164317
 
< 0.1%
118459314
 
< 0.1%
611
 
< 0.1%
43430310
 
< 0.1%
19136310
 
< 0.1%
93476710
 
< 0.1%
6331459
 
< 0.1%
9755369
 
< 0.1%
4399359
 
< 0.1%
Other values (40324)49870
99.7%
ValueCountFrequency (%)
41
 
< 0.1%
611
< 0.1%
281
 
< 0.1%
302
 
< 0.1%
361
 
< 0.1%
ValueCountFrequency (%)
14005681
< 0.1%
14005441
< 0.1%
14005411
< 0.1%
14005401
< 0.1%
14005311
< 0.1%
Distinct31402
Distinct (%)63.3%
Missing410
Missing (%)0.8%
Memory size781.2 KiB
2025-10-29T22:44:46.090536image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.125509175
Min length1

Characters and Unicode

Total characters353354
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21732 ?
Unique (%)43.8%

Sample

1st rowEH5 2QG
2nd rowEH6 6PA
3rd rowRH16 2HF
4th rowWR1 2LH
5th rowM25 1AW
ValueCountFrequency (%)
eh61485
 
1.6%
eh71326
 
1.4%
eh41308
 
1.4%
eh31280
 
1.4%
eh101178
 
1.3%
eh91014
 
1.1%
eh11967
 
1.0%
eh12911
 
1.0%
eh8828
 
0.9%
eh16621
 
0.7%
Other values (9709)82933
88.4%
2025-10-29T22:44:46.732206image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44261
 
12.5%
129486
 
8.3%
E25648
 
7.3%
H23514
 
6.7%
216827
 
4.8%
413580
 
3.8%
312954
 
3.7%
512128
 
3.4%
611682
 
3.3%
011654
 
3.3%
Other values (60)151620
42.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)353354
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
44261
 
12.5%
129486
 
8.3%
E25648
 
7.3%
H23514
 
6.7%
216827
 
4.8%
413580
 
3.8%
312954
 
3.7%
512128
 
3.4%
611682
 
3.3%
011654
 
3.3%
Other values (60)151620
42.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)353354
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
44261
 
12.5%
129486
 
8.3%
E25648
 
7.3%
H23514
 
6.7%
216827
 
4.8%
413580
 
3.8%
312954
 
3.7%
512128
 
3.4%
611682
 
3.3%
011654
 
3.3%
Other values (60)151620
42.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)353354
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
44261
 
12.5%
129486
 
8.3%
E25648
 
7.3%
H23514
 
6.7%
216827
 
4.8%
413580
 
3.8%
312954
 
3.7%
512128
 
3.4%
611682
 
3.3%
011654
 
3.3%
Other values (60)151620
42.9%
Distinct9510
Distinct (%)19.2%
Missing410
Missing (%)0.8%
Memory size781.2 KiB
2025-10-29T22:44:47.230112image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length12
Median length5
Mean length5.338737649
Min length1

Characters and Unicode

Total characters264748
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4064 ?
Unique (%)8.2%

Sample

1st rowEH5 2
2nd rowEH6 6
3rd rowRH16 2
4th rowWR1 2
5th rowM25 1
ValueCountFrequency (%)
55378
 
5.7%
15345
 
5.7%
24682
 
5.0%
64583
 
4.9%
44562
 
4.9%
84418
 
4.7%
94223
 
4.5%
34110
 
4.4%
73983
 
4.2%
02693
 
2.9%
Other values (5725)49871
53.1%
2025-10-29T22:44:48.862128image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44258
16.7%
129446
 
11.1%
E19790
 
7.5%
H17945
 
6.8%
216760
 
6.3%
413542
 
5.1%
312912
 
4.9%
512084
 
4.6%
611626
 
4.4%
011583
 
4.4%
Other values (60)74802
28.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)264748
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
44258
16.7%
129446
 
11.1%
E19790
 
7.5%
H17945
 
6.8%
216760
 
6.3%
413542
 
5.1%
312912
 
4.9%
512084
 
4.6%
611626
 
4.4%
011583
 
4.4%
Other values (60)74802
28.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)264748
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
44258
16.7%
129446
 
11.1%
E19790
 
7.5%
H17945
 
6.8%
216760
 
6.3%
413542
 
5.1%
312912
 
4.9%
512084
 
4.6%
611626
 
4.4%
011583
 
4.4%
Other values (60)74802
28.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)264748
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
44258
16.7%
129446
 
11.1%
E19790
 
7.5%
H17945
 
6.8%
216760
 
6.3%
413542
 
5.1%
312912
 
4.9%
512084
 
4.6%
611626
 
4.4%
011583
 
4.4%
Other values (60)74802
28.3%

country
Text

Missing 

Distinct83
Distinct (%)0.2%
Missing999
Missing (%)2.0%
Memory size781.2 KiB
2025-10-29T22:44:49.122449image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length36
Median length14
Mean length13.56864146
Min length4

Characters and Unicode

Total characters664877
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)< 0.1%

Sample

1st rowUnited Kingdom
2nd rowUnited Kingdom
3rd rowUnited Kingdom
4th rowUnited Kingdom
5th rowUnited Kingdom
ValueCountFrequency (%)
united45991
48.3%
kingdom43389
45.6%
states2571
 
2.7%
australia442
 
0.5%
ireland434
 
0.5%
germany339
 
0.4%
canada237
 
0.2%
netherlands231
 
0.2%
france162
 
0.2%
switzerland123
 
0.1%
Other values (89)1288
 
1.4%
2025-10-29T22:44:49.509970image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n91487
13.8%
d90667
13.6%
i90445
13.6%
t52210
7.9%
e50753
7.6%
46206
6.9%
U45997
6.9%
m43905
6.6%
o43712
6.6%
g43580
6.6%
Other values (42)65915
9.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)664877
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n91487
13.8%
d90667
13.6%
i90445
13.6%
t52210
7.9%
e50753
7.6%
46206
6.9%
U45997
6.9%
m43905
6.6%
o43712
6.6%
g43580
6.6%
Other values (42)65915
9.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)664877
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n91487
13.8%
d90667
13.6%
i90445
13.6%
t52210
7.9%
e50753
7.6%
46206
6.9%
U45997
6.9%
m43905
6.6%
o43712
6.6%
g43580
6.6%
Other values (42)65915
9.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)664877
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n91487
13.8%
d90667
13.6%
i90445
13.6%
t52210
7.9%
e50753
7.6%
46206
6.9%
U45997
6.9%
m43905
6.6%
o43712
6.6%
g43580
6.6%
Other values (42)65915
9.9%
Distinct46828
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:49.842089image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters550000
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44278 ?
Unique (%)88.6%

Sample

1st row180:3554718
2nd row180:3787275
3rd row180:3518262
4th row180:3506769
5th row180:3949410
ValueCountFrequency (%)
180:347735112
 
< 0.1%
180:35582187
 
< 0.1%
180:34661127
 
< 0.1%
180:34780267
 
< 0.1%
180:35079667
 
< 0.1%
180:35049876
 
< 0.1%
180:35058176
 
< 0.1%
180:35080706
 
< 0.1%
180:35497816
 
< 0.1%
180:35158056
 
< 0.1%
Other values (46818)49930
99.9%
2025-10-29T22:44:50.316354image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
883544
15.2%
077057
14.0%
175306
13.7%
372963
13.3%
:50000
9.1%
536019
6.5%
633603
6.1%
733147
 
6.0%
932887
 
6.0%
431447
 
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)550000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
883544
15.2%
077057
14.0%
175306
13.7%
372963
13.3%
:50000
9.1%
536019
6.5%
633603
6.1%
733147
 
6.0%
932887
 
6.0%
431447
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)550000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
883544
15.2%
077057
14.0%
175306
13.7%
372963
13.3%
:50000
9.1%
536019
6.5%
633603
6.1%
733147
 
6.0%
932887
 
6.0%
431447
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)550000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
883544
15.2%
077057
14.0%
175306
13.7%
372963
13.3%
:50000
9.1%
536019
6.5%
633603
6.1%
733147
 
6.0%
932887
 
6.0%
431447
 
5.7%

no_of_tickets
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size781.2 KiB
Distinct4186
Distinct (%)8.4%
Missing108
Missing (%)0.2%
Memory size781.2 KiB
2025-10-29T22:44:50.700414image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters947948
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)0.8%

Sample

1st row2022-08-25 20:30:00
2nd row2022-08-24 18:00:00
3rd row2022-08-08 18:35:00
4th row2022-08-11 16:55:00
5th row2022-08-24 13:30:00
ValueCountFrequency (%)
2022-08-202873
 
2.9%
2022-08-132781
 
2.8%
2022-08-272715
 
2.7%
2022-08-092529
 
2.5%
2022-08-082293
 
2.3%
2022-08-192255
 
2.3%
2022-08-122216
 
2.2%
2022-08-262157
 
2.2%
2022-08-182130
 
2.1%
2022-08-211949
 
2.0%
Other values (209)75886
76.1%
2025-10-29T22:44:51.163581image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0269364
28.4%
2197613
20.8%
-99784
 
10.5%
:99784
 
10.5%
173459
 
7.7%
860751
 
6.4%
49892
 
5.3%
529277
 
3.1%
322051
 
2.3%
414376
 
1.5%
Other values (3)31597
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)947948
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0269364
28.4%
2197613
20.8%
-99784
 
10.5%
:99784
 
10.5%
173459
 
7.7%
860751
 
6.4%
49892
 
5.3%
529277
 
3.1%
322051
 
2.3%
414376
 
1.5%
Other values (3)31597
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)947948
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0269364
28.4%
2197613
20.8%
-99784
 
10.5%
:99784
 
10.5%
173459
 
7.7%
860751
 
6.4%
49892
 
5.3%
529277
 
3.1%
322051
 
2.3%
414376
 
1.5%
Other values (3)31597
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)947948
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0269364
28.4%
2197613
20.8%
-99784
 
10.5%
:99784
 
10.5%
173459
 
7.7%
860751
 
6.4%
49892
 
5.3%
529277
 
3.1%
322051
 
2.3%
414376
 
1.5%
Other values (3)31597
 
3.3%

event
Text

Distinct2730
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:51.542476image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length183
Median length80
Mean length25.98002
Min length1

Characters and Unicode

Total characters1299001
Distinct characters106
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)0.6%

Sample

1st rowSunny Makes a Scene
2nd rowNina Conti: The Dating Show
3rd rowMusic, Mayhem and a Mezzo
4th rowArt
5th rowBlood Harmony
ValueCountFrequency (%)
the13523
 
6.2%
of5220
 
2.4%
and3466
 
1.6%
a2935
 
1.3%
show2106
 
1.0%
2094
 
1.0%
in1975
 
0.9%
to1624
 
0.7%
is1537
 
0.7%
my1516
 
0.7%
Other values (4819)183771
83.6%
2025-10-29T22:44:52.111441image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171206
 
13.2%
e111499
 
8.6%
a81700
 
6.3%
o74574
 
5.7%
n65505
 
5.0%
i64804
 
5.0%
r62786
 
4.8%
t58441
 
4.5%
s52729
 
4.1%
l45021
 
3.5%
Other values (96)510736
39.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)1299001
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
171206
 
13.2%
e111499
 
8.6%
a81700
 
6.3%
o74574
 
5.7%
n65505
 
5.0%
i64804
 
5.0%
r62786
 
4.8%
t58441
 
4.5%
s52729
 
4.1%
l45021
 
3.5%
Other values (96)510736
39.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)1299001
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
171206
 
13.2%
e111499
 
8.6%
a81700
 
6.3%
o74574
 
5.7%
n65505
 
5.0%
i64804
 
5.0%
r62786
 
4.8%
t58441
 
4.5%
s52729
 
4.1%
l45021
 
3.5%
Other values (96)510736
39.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)1299001
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
171206
 
13.2%
e111499
 
8.6%
a81700
 
6.3%
o74574
 
5.7%
n65505
 
5.0%
i64804
 
5.0%
r62786
 
4.8%
t58441
 
4.5%
s52729
 
4.1%
l45021
 
3.5%
Other values (96)510736
39.3%
Distinct10
Distinct (%)< 0.1%
Missing98
Missing (%)0.2%
Memory size781.2 KiB
2025-10-29T22:44:52.282811image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length33
Median length19
Mean length9.683399463
Min length5

Characters and Unicode

Total characters483221
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTheatre
2nd rowComedy
3rd rowCabaret and Variety
4th rowTheatre
5th rowTheatre
ValueCountFrequency (%)
comedy23309
30.8%
theatre14601
19.3%
and8553
 
11.3%
music3555
 
4.7%
cabaret3060
 
4.0%
variety3060
 
4.0%
physical3003
 
4.0%
circus3003
 
4.0%
dance3003
 
4.0%
musicals2490
 
3.3%
Other values (7)8051
 
10.6%
2025-10-29T22:44:52.562370image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e66960
13.9%
a43320
 
9.0%
d34536
 
7.1%
C31652
 
6.6%
y29372
 
6.1%
r28888
 
6.0%
o26428
 
5.5%
25786
 
5.3%
m23309
 
4.8%
h22215
 
4.6%
Other values (23)150755
31.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)483221
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e66960
13.9%
a43320
 
9.0%
d34536
 
7.1%
C31652
 
6.6%
y29372
 
6.1%
r28888
 
6.0%
o26428
 
5.5%
25786
 
5.3%
m23309
 
4.8%
h22215
 
4.6%
Other values (23)150755
31.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)483221
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e66960
13.9%
a43320
 
9.0%
d34536
 
7.1%
C31652
 
6.6%
y29372
 
6.1%
r28888
 
6.0%
o26428
 
5.5%
25786
 
5.3%
m23309
 
4.8%
h22215
 
4.6%
Other values (23)150755
31.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)483221
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e66960
13.9%
a43320
 
9.0%
d34536
 
7.1%
C31652
 
6.6%
y29372
 
6.1%
r28888
 
6.0%
o26428
 
5.5%
25786
 
5.3%
m23309
 
4.8%
h22215
 
4.6%
Other values (23)150755
31.2%

performance_reserved
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02566
Minimum0
Maximum1
Zeros48717
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:52.658139image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1581204112
Coefficient of variation (CV)6.162136057
Kurtosis34.00101712
Mean0.02566
Median Absolute Deviation (MAD)0
Skewness5.999971423
Sum1283
Variance0.02500206444
MonotonicityNot monotonic
2025-10-29T22:44:52.748726image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048717
97.4%
11283
 
2.6%
ValueCountFrequency (%)
048717
97.4%
11283
 
2.6%
ValueCountFrequency (%)
11283
 
2.6%
048717
97.4%

venue_server_id
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.14748
Minimum1
Maximum6914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:52.849397image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median26
Q361
95-th percentile132
Maximum6914
Range6913
Interquartile range (IQR)58

Descriptive statistics

Standard deviation372.4475266
Coefficient of variation (CV)6.192238255
Kurtosis314.2738796
Mean60.14748
Median Absolute Deviation (MAD)25
Skewness17.37260763
Sum3007374
Variance138717.1601
MonotonicityNot monotonic
2025-10-29T22:44:52.962704image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
111656
23.3%
339906
19.8%
38743
17.5%
616038
12.1%
143832
 
7.7%
1322753
 
5.5%
882190
 
4.4%
261983
 
4.0%
2311045
 
2.1%
124467
 
0.9%
Other values (8)1387
 
2.8%
ValueCountFrequency (%)
111656
23.3%
38743
17.5%
143832
 
7.7%
22186
 
0.4%
261983
 
4.0%
ValueCountFrequency (%)
6914138
 
0.3%
183561
 
0.1%
913161
 
0.3%
41027
 
0.1%
2311045
2.1%

venue_id
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size781.2 KiB

venue
Text

Distinct188
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:53.387546image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length48
Median length40
Mean length22.14536
Min length4

Characters and Unicode

Total characters1107268
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)< 0.1%

Sample

1st rowC ARTS | C venues | C aquila
2nd rowPleasance Courtyard
3rd rowtheSpace @ Niddry St
4th rowtheSpace @ Niddry St
5th rowTraverse Theatre
ValueCountFrequency (%)
the9969
 
6.1%
pleasance9896
 
6.0%
square9173
 
5.6%
assembly8743
 
5.3%
7023
 
4.3%
george6227
 
3.8%
courtyard6205
 
3.8%
underbelly4905
 
3.0%
at3988
 
2.4%
gilded3826
 
2.3%
Other values (321)94183
57.4%
2025-10-29T22:44:53.972547image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e137390
 
12.4%
116778
 
10.5%
a76676
 
6.9%
r65982
 
6.0%
l64191
 
5.8%
o62776
 
5.7%
s58474
 
5.3%
t45378
 
4.1%
n43370
 
3.9%
d35851
 
3.2%
Other values (57)400402
36.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)1107268
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e137390
 
12.4%
116778
 
10.5%
a76676
 
6.9%
r65982
 
6.0%
l64191
 
5.8%
o62776
 
5.7%
s58474
 
5.3%
t45378
 
4.1%
n43370
 
3.9%
d35851
 
3.2%
Other values (57)400402
36.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)1107268
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e137390
 
12.4%
116778
 
10.5%
a76676
 
6.9%
r65982
 
6.0%
l64191
 
5.8%
o62776
 
5.7%
s58474
 
5.3%
t45378
 
4.1%
n43370
 
3.9%
d35851
 
3.2%
Other values (57)400402
36.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)1107268
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e137390
 
12.4%
116778
 
10.5%
a76676
 
6.9%
r65982
 
6.0%
l64191
 
5.8%
o62776
 
5.7%
s58474
 
5.3%
t45378
 
4.1%
n43370
 
3.9%
d35851
 
3.2%
Other values (57)400402
36.2%

subvenue_id
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size781.2 KiB
Distinct332
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:54.377337image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length37
Median length31
Mean length11.92758
Min length3

Characters and Unicode

Total characters596379
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowstudio
2nd rowThe Grand
3rd rowUpper Theatre (Round)
4th rowUpper Theatre (Round)
5th rowTraverse 1
ValueCountFrequency (%)
the6696
 
6.6%
theatre6538
 
6.4%
hall5727
 
5.6%
room3872
 
3.8%
studio3079
 
3.0%
main2672
 
2.6%
grand2332
 
2.3%
12243
 
2.2%
pleasance2051
 
2.0%
one1633
 
1.6%
Other values (353)64723
63.7%
2025-10-29T22:44:54.940879image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e70617
 
11.8%
54068
 
9.1%
a49465
 
8.3%
r35056
 
5.9%
n34464
 
5.8%
o33699
 
5.7%
t32936
 
5.5%
l31810
 
5.3%
i26602
 
4.5%
h18753
 
3.1%
Other values (58)208909
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)596379
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e70617
 
11.8%
54068
 
9.1%
a49465
 
8.3%
r35056
 
5.9%
n34464
 
5.8%
o33699
 
5.7%
t32936
 
5.5%
l31810
 
5.3%
i26602
 
4.5%
h18753
 
3.1%
Other values (58)208909
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)596379
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e70617
 
11.8%
54068
 
9.1%
a49465
 
8.3%
r35056
 
5.9%
n34464
 
5.8%
o33699
 
5.7%
t32936
 
5.5%
l31810
 
5.3%
i26602
 
4.5%
h18753
 
3.1%
Other values (58)208909
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)596379
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e70617
 
11.8%
54068
 
9.1%
a49465
 
8.3%
r35056
 
5.9%
n34464
 
5.8%
o33699
 
5.7%
t32936
 
5.5%
l31810
 
5.3%
i26602
 
4.5%
h18753
 
3.1%
Other values (58)208909
35.0%
Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size781.2 KiB
2025-10-29T22:44:55.074666image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Length

Max length38
Median length3
Mean length3.34014
Min length3

Characters and Unicode

Total characters167007
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWeb
2nd rowWeb
3rd rowWeb
4th rowWeb
5th rowWeb
ValueCountFrequency (%)
web47643
93.3%
counters1384
 
2.7%
phones769
 
1.5%
348
 
0.7%
customer342
 
0.7%
services342
 
0.7%
default197
 
0.4%
fringe13
 
< 0.1%
shop7
 
< 0.1%
media3
 
< 0.1%
2025-10-29T22:44:55.312146image/svg+xmlMatplotlib v3.10.7, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e51038
30.6%
W47643
28.5%
b47643
28.5%
s2837
 
1.7%
o2502
 
1.5%
n2169
 
1.3%
r2084
 
1.2%
t1926
 
1.2%
u1923
 
1.2%
C1729
 
1.0%
Other values (18)5513
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)167007
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e51038
30.6%
W47643
28.5%
b47643
28.5%
s2837
 
1.7%
o2502
 
1.5%
n2169
 
1.3%
r2084
 
1.2%
t1926
 
1.2%
u1923
 
1.2%
C1729
 
1.0%
Other values (18)5513
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)167007
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e51038
30.6%
W47643
28.5%
b47643
28.5%
s2837
 
1.7%
o2502
 
1.5%
n2169
 
1.3%
r2084
 
1.2%
t1926
 
1.2%
u1923
 
1.2%
C1729
 
1.0%
Other values (18)5513
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)167007
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e51038
30.6%
W47643
28.5%
b47643
28.5%
s2837
 
1.7%
o2502
 
1.5%
n2169
 
1.3%
r2084
 
1.2%
t1926
 
1.2%
u1923
 
1.2%
C1729
 
1.0%
Other values (18)5513
 
3.3%